478 results about "Service time" patented technology

The embodiment of the invention provides a local life service integration method and device and terminal equipment. The method comprises the following steps: integrating a plurality of heterogeneous local life service providers into a gas station service platform to obtain a local life service platform, and collecting real-time service data in real time; non-oil sales fluctuation of the gas station is predicted based on the real-time service data, and the order quantity and the delivery cycle of upstream and downstream suppliers are dynamically adjusted according to a prediction result; constructing a multi-dimensional data analysis model, predicting user traffic and various service demands in different time periods every day, and configuring a corresponding local life service time window based on a prediction result; dynamically updating callable local life service resources and dynamically deploying gas station human resources based on the order quantity, the delivery cycle and the local life service resource configuration; and generating a personalized service list of the user by using a collaborative filtering algorithm and a reinforcement learning algorithm, interacting with the user in an interaction interface, and providing corresponding local life service resources for the user.

The embodiment of the invention provides a method for realizing automatic service discovery by transforming a service registration center based on xxl-job, and the method comprises the steps: registering a micro-service gateway, a multi-copy xxl-job-admin scheduling center and a micro-service timed task executor to the service registration center, and carrying out the centralized storage and management of configuration items in the service registration center. And meanwhile, the microservice gateway is used for providing access and load balancing based on routing for the xxl-job-admin dispatching center and the microservice timed task executor. And the xxl-job-admin scheduling center obtains the online micro-service timed task executor from the service registration center, and calls the executor to execute the timed task instead of depending on active registration of the executor. According to the method, the problems of high management cost and difficult dynamic expansion caused by independent deployment of the xxl-job are solved, the xxl-job deployment method which is easy for unified management, high in availability and flexible in configuration is provided, and automatic discovery and dynamic scheduling of timed tasks in a micro-service environment are realized.

The invention relates to the technical field of digital marketing, in particular to a digital advertisement putting method based on big data, and the method comprises the following steps: initializing an advertisement model, importing advertisement request time sequence data, carrying out time sequence analysis, adjusting an enqueue rule and a processing rate, calculating request distribution in a differentiated time period, and generating model parameter configuration. According to the invention, through a queuing theory and time sequence data analysis, advertisement time sequence and processing efficiency optimization, time sequence analysis and parameter adjustment, advertisement timeliness is enhanced, user activity peak synchronization is ensured, user participation degree and advertisement effect are improved, and recalculation of service time and estimation of waiting time support real-time monitoring of service efficiency. Accurate matching of advertisement resources and user requirements is achieved, real-time adjustment of strategies and simulation testing rapidly adapt to market changes, the resource utilization efficiency and ROI are improved, and precision and economic benefits of advertisement putting are remarkably improved through fine management and data driving optimization.

The invention provides a communication method, device and system, and relates to the technical field of mobile communication. The communication method is executed by core network equipment, and comprises the following steps: receiving a non-access stratum message sent by user equipment, the non-access stratum message carrying an indication field of a connection service request and an indication field of a data service request; generating a service request according to the non-access stratum message; and sending the service request, wherein the service request is used for triggering a connection service management function device and a data service management function device to provide a connection service and a data service for the user equipment. Through the method, the network can process the connection request and the data service request of the user equipment at the same time, the signaling overhead of the multi-element service request is saved, and the service time delay is reduced.

The invention relates to the technical field of communication scheduling, in particular to a multi-protocol fusion communication scheduling system resource allocation method and device, and the method comprises the following steps: obtaining communication characteristic parameters of multiple protocols in real time, and generating a dynamic priority weight of each protocol based on a protocol type, service time sensitivity and a channel noise parameter; according to the dynamic priority weight, disassembling a physical resource block into atom sequence units capable of being combined across protocols, and generating a segmentation strategy comprising an inter-protocol occupation sequence and a sequence splicing rule; when the segmentation strategy is executed, channel interference mutation points are detected in real time, and resource allocation optimization is completed through dynamic replacement and redundancy injection of the sequence units. According to the invention, the utilization rate of communication resources can be improved, the problem of frequency spectrum fragmentation is effectively relieved, and the stability and reliability under high-interference and high-density communication scenes are improved.

The invention provides a data center cooling system performance evaluation method and system. The method comprises the following steps: acquiring operation data of data center cooling equipment and power load data of a server, and combining service time and maintenance records of the equipment to determine a performance baseline; calculating resonance frequency points caused by harmonic waves under different working conditions based on the vibration characteristics of the base line and the current harmonic characteristics in the electric energy quality in combination with equipment structure parameters and a working condition empirical formula; frequency sweeping is performed by actively adjusting the rotating speed of equipment, the dominant harmonic frequency and the contribution proportion thereof are verified, and a proportional relation model of harmonic and vibration characteristics is established; adjusting equipment parameters according to the model, and calculating the deviation degree of a harmonic component and a performance baseline; and finally, combining harmonic change characteristics with deviation degree correlation, and constructing energy efficiency and health state evaluation indexes of the cooling system. According to the invention, collaborative evaluation of the energy efficiency and the health state of the data center cooling system is realized.

The invention discloses a customized order receiving method and system for a designated driver based on a saas platform. The invention relates to the technical field of designated driving services. Receiving demand data of a driver, wherein the demand data comprises order receiving preference, a service area and service time; receiving personal information input by a driver, wherein the personal information comprises basic information and order receiving preference setting; wherein the demand data comprises order receiving preferences, service areas and service time of drivers and users; wherein the basic information comprises a name, a driving age and a vehicle type; according to the invention, the driver is allowed to set personalized order receiving conditions according to own order receiving preference, service area and time, so that the working flexibility of the driver is greatly improved. The driver can autonomously select the order suitable for himself / herself, so that the rejection rate of improper orders is reduced, and the working efficiency and the satisfaction degree are improved. And through an intelligent order receiving matching algorithm, the system can quickly match the most appropriate order for the driver, so that the empty driving time and waiting time of the driver are reduced, and the working efficiency and income are further improved.

The invention provides a system abnormity intelligent diagnosis and recovery method and system fusing time sequence logs, and relates to the field of distributed system operation and maintaining.The method comprises the steps that operation logs are collected from a plurality of service nodes of a distributed system, time sequence alignment is conducted, and calling relation and performance measurement data are extracted; time sequence change features are calculated in the sliding time window, dynamic feature vectors are generated through fusion coding, and a cross-service time sequence association graph is constructed; identifying an abnormal service node and matching the abnormal service node with historical fault data to obtain a historical propagation path and a feature vector; calculating a propagation convergence coefficient and a characteristic deviation degree based on a historical propagation path to obtain a causal intensity score; and identifying a fault influence degree according to the score, and adaptively adjusting a resource isolation and flow scheduling strategy. According to the invention, accurate diagnosis and efficient recovery of distributed system faults are realized.

The invention provides a wave position distribution method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a terminal wave position requested by a target terminal; determining a service beam corresponding to the terminal beam position as a target beam; updating the total number of terminals accessed under the target beam and the number of beam position terminals accessed under the terminal beam position, and calculating a time block modification value of each beam position covered by the target beam according to the total number of terminals and the number of beam position terminals; and according to the time block modification value, updating the time block corresponding to each beam position covered by the target beam to obtain a beam position distribution result. The target beam corresponding to the terminal beam position requested by the target terminal is determined, the time block is re-allocated to each beam covered by the target beam based on the change of the number of the accessed terminals under the terminal beam position, and the time block corresponding to each beam position covered by the target beam is dynamically adjusted, so that the terminal access success rate is improved, and the user experience is improved. The service time delay is reduced and the service rate is improved.

The invention provides a high-speed rail emergency train number matching optimization method and system based on timeliness guarantee, and belongs to the field of logistics distribution scheme optimization. According to the method, the set business process comprises customer delivery, goods pickup and delivery, inter-station transportation and goods pickup and delivery; according to the order data and the rider data, the taking and delivering service time distribution of the two links of taking goods to the station and taking goods and delivering goods is constructed, and then the goods waiting time, the latest arrival time of the day and the goods arrival time meeting the maximum delay time are determined; taking the smaller value of the latest arrival time of the day and the cargo arrival time meeting the maximum delay time as the latest arrival time of the cargo; determining a train alternative set according to cargo time limit requirements and cargo OD stations; and based on the timeliness guarantee and the operation cost, constructing a high-speed rail emergency train number matching optimization model based on the timeliness guarantee, and solving the model to obtain an optimized train number matching result. According to the invention, the punctuality and reliability of transportation are improved, and the overall operation efficiency and economic benefits are improved.

The invention relates to a switching control method, a function network element, a communication system and electronic equipment, and relates to the technical field of satellite communication. The switching control method is executed by a first functional network element, and comprises the following steps: receiving a switching target determination request sent by a second functional network element, the switching target determination request comprising position information of user equipment, a service time range and an identifier of a currently accessed satellite; according to the position information of the user equipment, the identifier of the currently accessed satellite and the change information of the topological structure of the satellite network, determining one or more target satellites for continuous switching of the user equipment within the service time range; and sending a handover target determination response to the second function network element, the handover target determination response comprising the identifiers of the one or more target satellites, so that the second function network element controls handover of the user equipment according to the identifiers of the one or more target satellites.

A method for computing or estimating a service time interval or service time information related to a user equipment in a mobile communication network includes: in a first step, generating, by the user equipment, location information related to the user equipment's position; and in a second step, computing or estimating, by the user equipment, the service time interval or the service time information, wherein the computing or estimating is based on the location information related to the user equipment's position and based on reference location information received from a base station entity.

The invention relates to the technical field of electric vehicle charging and discharging scheduling, in particular to an idle energy storage vehicle scheduling method and system, and the method comprises the steps: obtaining a charging and replacing task or a power grid power transmission task, and determining a target position; selecting idle energy storage vehicles according to vehicle states in a set range of an area where the target position is located; according to the current position, the vehicle speed, the battery state, the mileage information and the idle state information of the idle energy storage vehicles, the power supply capacity is determined, and the idle energy storage vehicle with the minimum distance from the target position is screened out; based on a shortest path algorithm, an optimal path between the idle energy storage vehicles and the target position is obtained, a scheduling instruction is sent to the corresponding idle energy storage vehicles, and the idle energy storage vehicles execute corresponding tasks; and after the task is finished, obtaining the actual charging and switching quantity, the service time and the user feedback score to form a reward function, storing the reward function in historical data, updating the state-action value function during the scheduling period based on the historical data, and enabling the scheduling algorithm to autonomously learn the optimal decision strategy through updating.

The invention relates to the technical field of service life detection, and discloses a service life detection method and system for a direct-current brushless gear motor, and the method comprises the steps: determining the remaining service life of a to-be-detected motor according to a calibrated service life and accumulated service time; analyzing the parameter information, adjusting the residual service life based on an analysis result, and obtaining an initial residual service life prediction value of the to-be-detected motor; analyzing the historical motor operation record, calculating a historical abnormal operation index of the to-be-detected motor based on an analysis result, and judging whether the initial residual life prediction value is compensated or not according to the historical abnormal operation index; and determining a compensation coefficient of the initial residual life prediction value according to the historical abnormal operation index, and compensating the initial residual life prediction value according to the compensation coefficient to obtain a final residual life prediction value. The invention provides a new technical means for predicting the service life of the direct-current brushless gear motor, and is beneficial to improving the maintenance efficiency and prolonging the service life of the motor.

The invention provides a communication method and device, and relates to the technical field of wireless communication. According to the invention, the condition that the terminal device stays in the first link for a long time can be reduced, so that the terminal device can receive the scheduling information of the network device in time, and the service time delay can be reduced. The method includes the terminal device monitoring a low power wakeup signal (LP-WUS) from a network device through a first link. Under the first condition, the terminal device monitors a physical downlink control channel (PDCCH) from the network device through the second link. Wherein the first condition comprises at least one of the following items: a first moment arrives, and the first moment is one of periodic moments; or, the first link does not monitor the LP-WUS in the first duration. Wherein the power consumption of the first link is smaller than that of the second link. For example, the first link may be a secondary link, and the second link may be a primary link.

The invention belongs to the technical field of wind power generation, and relates to a fan tower reliability evaluation method and system, electronic equipment and a medium, and the method comprises the steps: obtaining a weather fatigue accumulated damage coefficient according to different weather data information; obtaining a load coefficient based on the load stress and a preset allowable stress; the inclination is collected in real time through an inclination angle sensor, and according to the inclination and a preset inclination threshold value, an inclination coefficient is obtained through normalization processing; obtaining the service time and the design life of the fan tower, and obtaining a life attenuation coefficient based on the service time and the design life; and obtaining the reliability according to the weather fatigue accumulated damage coefficient, the load coefficient, the inclination coefficient, the life attenuation coefficient, a preset weather fatigue accumulated damage weight, a load weight, an inclination weight and a life attenuation weight. According to the method, the reliability is obtained through the weather fatigue accumulated damage coefficient, the load coefficient, the inclination coefficient and the life attenuation coefficient, and the problem of low reliability evaluation accuracy of the existing fan tower is solved.

The invention discloses an air-ground integration-oriented deterministic edge computing power network unmanned aerial vehicle auxiliary deployment and task scheduling method. The method comprises the steps of constructing a multi-layer computing power network model based on network topology; constructing a DAG graph model according to the calculation task; generating an optimal network forwarding path for each workflow of the DAG model in the multi-layer computing power network model, and completing path planning, time slot scheduling and subtask unloading of the workflows; a vacant deployment position of a computing power calculation node is positioned through a multi-layer computing power network model, matching of the unmanned aerial vehicle and the vacant deployment position is completed in combination with a subtask unloading result and a computing power demand of the subtask, and a service time slot and a service deployment position of the unmanned aerial vehicle are adjusted; all task transmission is completed in a determined service time slot period based on the service time slot and the service deployment position of the unmanned aerial vehicle and through time-aware gating control. The task is ensured to be completed in a controllable time delay range, and the overall delivery efficiency of the task is improved.

The invention discloses a gas forklift, which comprise a forklift body and also comprises a gas tank, wherein the gas tank is arranged on a rear seat of the forklift body through a fixed support; the fixed support comprises a support frame and clamp rings; the clamp rings are formed by hinging two arc-shaped clamp arms; the end parts of one arc-shaped clamp arm is provided with a clamp splice; the clamp splice is provided with a through hole; the end part of the other arc-shaped clamp arms is hinged with an insertion; and each insertion is provided with an insertion rod which passes through the through hole and is locked by a nut. By adopting the structure, the gas forklift disclosed by the invention has the following advantages that 1, as the gas tank is installed on the rear seat of the forklift, the service time of the gas of the forklift can be prolonged, frequent gas filling is avoided, and the working efficiency is increased; 2, meanwhile, the gas tank is convenient in replacement, so that operation troubles brought by opening the rear seat of the forklift when gas filling is performed are avoided; and 3, the two arc-shaped clamp arms can be conveniently connected or loosened, therefore, not only is the gas tank fixed but also the gas tank can be conveniently replaced.

Disclosed in embodiments of the present description are a data processing method, apparatus and device based on an end-edge-cloud scheduling system. The method comprises: acquiring a first service processing request in the process of executing a target service; then, determining a computing power allocation strategy for a terminal side and an edge server side and corresponding to the first service processing request, wherein the computing power allocation strategy is determined on the basis of the number of service processing requests processed by the terminal side, the number of service processing requests processed by the edge server side, and the trusted release rates of service processing requests corresponding to the terminal side and the edge server side, under the computing power constraint conditions and / or service time consumption conditions of the edge server side; and finally, on the basis of the computing power allocation strategy, determining a device side for processing the first service processing request, and processing the first service processing request on the basis of the determined device side.

A method (1200) performed by a wireless device (110) includes obtaining a remaining service time (Tservice) associated with a first satellite or first spot beam. Based on the remaining service time, the wireless device determines whether to initiate a connection with the first satellite or first spot beam.

The invention discloses an access method and device of a low-orbit satellite communication system, and belongs to the field of satellite communication. The method comprises the following steps: if an auxiliary information timer of a current satellite cell is overtime and random access fails, determining whether an adjacent cell of which the beam signal strength reaches access threshold strength exists at present; if it is determined that the neighbor cell with the beam signal strength reaching the access threshold strength exists currently, determining an optimal satellite cell of random access according to the current satellite cell and the remaining service time of the neighbor cell to the ground terminal; the remaining service time is the remaining time when the satellite cell beam signal covers the ground terminal. According to the invention, the access can be accelerated, the access time delay can be reduced, and the risks of switching, signaling resource waste and switching failure increase caused by fast switching after access can be avoided.

The invention discloses a traffic scheduling method, system and device and a readable storage medium. The method comprises the following steps: in response to a message forwarding instruction, obtaining the length of non-service time of a currently expected forwarding message and the data transmission rate of an exit channel; when the non-service time is smaller than or equal to a preset time threshold value, calculating the amount of data which can be transmitted in the non-service time based on the data transmission rate and the length of the non-service time; and if the amount of data that can be transmitted in the non-service time is greater than or equal to the size of the to-be-transmitted message, the to-be-transmitted message is allowed to be forwarded, otherwise, forwarding is forbidden. Compared with the prior art, stable realization of functions corresponding to the protection belt and the gating remaining time is guaranteed. And meanwhile, the transmission efficiency of the message in the gating period is improved. Furthermore, based on the configuration of the time threshold, the non-service time is differentiated into two different dimensions for operation, so that the macroscopic waste of hardware resources is avoided, and the adaptability of the scheme is improved.

The embodiment of the invention relates to a communication method, station equipment, access point equipment and a communication system. The communication method comprises the following steps: station equipment STA determines a first wireless frame; wherein the first wireless frame comprises one or more items of first identification information, and the first identification information identifies whether the STA supports communication in an auxiliary channel within service time (SP) of independent target wake-up time (indual TWT); and sending the first wireless frame, so that the access point device determines whether to schedule the station device to the auxiliary channel to send and receive data according to the first identification information in the first wireless frame, thereby improving the bandwidth resource utilization rate and realizing maximum utilization of channel resources.

The invention relates to the technical field of vehicle scheduling, and discloses a modular autonomous vehicle flexible operation scheduling method connected with rail transit, which comprises the following steps: matching passengers with a vehicle based on the arrival time of a rail transit train, the station service time, the number of passengers getting off the train and the transfer rate, and generating the service train number of the modular autonomous vehicle; based on the service train number of the modularized automatic driving vehicle, taking the minimization of the fleet scale as an optimization target, and constructing a first-stage optimization model; constructing a second-stage optimization model by taking minimization of the number of empty vehicles as an optimization target on the basis of the minimum vehicle team scale; and solving the first-stage optimization model and the second-stage optimization model, optimizing the motorcade scale by adopting a key train number identification method and a standing passenger proportion constraint method, and generating a flexible operation scheduling result of the modular autonomous vehicle. According to the method, the problem of vehicle flexible scheduling can be efficiently solved, so that the generated vehicle scheduling scheme can meet the flexible constraint condition.

The invention provides a communication method, device and system, a computer program product and a readable storage medium, and the method can be applied to a communication scene exemplarily. In the method, a terminal device receives a first measurement event and a second measurement event configured by a source access network device, and takes the first measurement event and the second measurement event related to estimated service time as execution conditions. The terminal device can select the target cell according to the estimated service time of the candidate cell and the estimated service time of the source cell to perform cell switching. Compared with the existing scheme that the target cell is selected only according to the cell signal quality, the terminal equipment can execute cell switching under the condition that the first measurement event and the second measurement event are triggered, and the terminal equipment can perform cell switching under the condition that the estimated service time of the source cell is short and the estimated service time of the candidate cell is relatively long. And switching to the target cell capable of providing relatively long service time, thereby reducing the frequency of switching the access network equipment by the terminal equipment, and improving the communication stability.

The embodiment of the invention provides a different-address machine production and distribution cooperative scheduling optimization method and system and a storage medium, and belongs to the technical field of scheduling optimization. Comprising the following steps: constructing an objective function of service time of a parallel machine and a constraint function of the objective function, and generating an initial solution meeting the constraint function through a sorting scoring function based on variable machine lease cost; intelligently selecting a disturbance operator based on a deep reinforcement learning algorithm, and disturbing the initial solution in a variable neighborhood search mode based on the disturbance operator to generate a disturbance solution; performing local optimization based on the disturbance solution through a local search mode to determine a current optimal solution and a current optimal solution of the target function; and performing iterative optimization on the current optimal solution in an iterative search mode to determine a global optimal solution of the target function. According to the method, production and distribution are collaboratively optimized while the cost constraint existing in actual production is considered. The convergence efficiency is high, and the probability of falling into local optimum can be reduced.

A system for generating a servicing schedule includes a controller. The controller receives an input signal pertaining to a servicing information for the machine. The servicing information includes one or more of an aftermarket servicing lead, a fault code from the machine, a fluid test result for the machine, and an inspection data for the machine. The controller analyzes the input signal for generating a service report that contains the servicing information. The service report is used for generating the servicing schedule for the machine. The system also includes a user interface for receiving the service report from the controller. The user interface presents the service report thereon.

The fixed type semi-hidden automobile handle support structure comprises a support body and a first spring part, a mounting cavity is formed in the side wall of the support body, and the first spring part is arranged in the mounting cavity; the communication reset assembly is mounted in the mounting cavity, the communication reset assembly is used for prolonging the service life of the first spring part, and the communication reset assembly comprises a fixing block which is fixedly mounted on the inner top surface of the mounting cavity and is fixedly connected with the top end of the first spring part, and a fixing rod and a sliding rod which are symmetrically arranged in the first spring part in a penetrating manner; through the use of the communicating reset assembly, the wear-reducing lubricating assembly and the oil outlet hole, the failure fatigue rate of the first spring part can be better reduced, the service time of the first spring part is prolonged, the service life of the first spring part can be fully prolonged, meanwhile, wear generated between the limiting sleeve and the limiting ball can be fully reduced, and the service life of the first spring part is prolonged. The handle support can be prevented from being quickly damaged.

Methods and systems are described for providing satellite beam handover based on predicted network conditions. In embodiments, a satellite communications system retrieves flight plan data for a plurality of aircraft being provided a network access service, identifies, for each aircraft respective candidate satellite beams of the plurality of satellite beams for providing the network access service, each candidate satellite beam having an associated service timeframe for providing the network access service, obtains, for each of the respective candidate satellite beams, a beam utilization score indicative of predicted beam utilization by the plurality of aircraft over the associated service timeframe, selects satellite beams for providing the network access service of each aircraft of the plurality of aircraft based at least in part on the beam utilization scores, and schedules handover of the network access service for the plurality of aircraft to the selected satellite beams.

The invention discloses a traffic signal lamp time service time adjusting method, and relates to the field of intelligent traffic, and the method comprises the steps: signal lamp equipment obtains a satellite time service data packet and a central time service data packet in real time in the operation process, and the satellite time service data packet and the central time service data packet comprise time service time provided by various time service modes; respectively calculating the stability magnitude P of each time service mode; when a time service deviation exists between the time service time provided by the time service mode selected by the equipment and the timing time of the local machine, determining the maximum duration allowed to be adjusted per second in the time service mode according to the corresponding P value and the time service deviation duration; and the equipment adjusts the time service time according to the maximum duration allowed to be adjusted per second, and calculates the maximum duration allowed to be adjusted per second at the next time until the time service deviation is eliminated. When the intelligent signal lamp equipment uses wireless or bus communication, precision time service can be realized among the equipment, and risks caused by time asynchronization of the signal control equipment are reduced as much as possible.